Oh what if the script is in the container already?

Hmm, the idea of clearml is that the container is a "base environment" and code is "injected", this makes sure it is easy to reuse it.
The easiest way is to add an "entry point" scripts that just calls the existing script inside the container.
You can have this python initial script on your local machine then when you call clearml-task it will upload the local "entry point" script directly to the Task, and then on the remote machine it will use it and launch the existing script/code that is already inside the container. Makes sense ?

Oh what if the script is in the container already?

Hi @<1720249416255803392:profile|IdealMole15>
I'm assuming you mean on a remote machine with clearml-agent running ?
If you do, then you either use clearml-task to create a Task (Job) and specify the container and script. or click on "Create New Experiment" in the UI, and fill out the git repo / script and specify the docker image.
Make sense?